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Google Play Data Extractor

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Google Play Data Extractor

Google Play Data Extractor

epctex/google-play-scraper
Try for free

3 days trial then $35.00/month - No credit card required now

Get valuable info & reviews from Google Play! Access title, price, ratings, download rates, screenshots, released date, version number & developer details for any region or language. Unlimited & lightning-fast extraction. Export data in XML, JSON, CSV, Excel, or HTML formats.

You can access the Google Play Data Extractor programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": [
10        "https://play.google.com/store/search?q=hello&c=apps&hl=tr&gl=US",
11        "https://play.google.com/store/apps/developer?id=Mattel163+Limited",
12        "https://play.google.com/store/apps/details?id=com.tinybuildgames.helloneighbor&hl=tr&gl=US",
13    ],
14    "endReviewsPage": 2,
15    "proxy": { "useApifyProxy": True },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("epctex/google-play-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Google Play Store Insights Analyzer API in Python

The Apify API client for Python is the official library that allows you to use Google Play Data Extractor API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 17 monthly users
  • 8 stars
  • 100.0% runs succeeded
  • 14 hours response time
  • Created in May 2020
  • Modified about 17 hours ago